亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

A Review of Ecosystem Service Trade-Offs/Synergies: Enlightenment for the Optimization of Forest Ecosystem Functions in Karst Desertification Control

生态系统服务 供应 环境资源管理 生态系统 荒漠化 服务(商务) 森林生态学 中国 功能生态学 地理 业务 环境科学 生态学 计算机科学 生物 电信 营销 考古
作者
Xuehua Deng,Kangning Xiong,Yanghua Yu,Shihao Zhang,Lingwei Kong,Yu Zhang
出处
期刊:Forests [Multidisciplinary Digital Publishing Institute]
卷期号:14 (1): 88-88 被引量:12
标识
DOI:10.3390/f14010088
摘要

Ecosystem services provide regulation, provisioning, support, and cultural benefits for human survival, but it needs to be clarified how the trade-off/synergy relationships can be used to optimize function. Based on the Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases, we collected 254 articles on the ecosystem trade-offs/synergies and functional optimization. Through a systematic review of the literature, this paper summarized the research progress and landmark achievements from three aspects: trade-offs/synergies, functional optimization, and evaluation methods. The results indicated the following: (1) In terms of the number of articles published, there were no reports before 2005; from 2006 to 2022, the annual number of published papers increased from 1 to 72, showing an overall growth trend year by year. This mainly includes three stages: initial (1970–2005), slow development (2005–2014), and rapid development (2014–2022). (2) In terms of research areas, focus was placed mainly on Asia, North America, and Europe, accounting for 40.47%, 25.55%, and 15.07% of all regions, respectively. (3) In the future, it is necessary to focus on scientific issues such as the improvement of forest ecosystem functions, the trade-off/synergy relationships between services, the scale of spatiotemporal research, and the driving factors and evaluation methods for the management of rocky karst desertification. The aim is to provide a theoretical basis to optimize the forest ecosystem service functions.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
5秒前
OnlyHarbour发布了新的文献求助10
10秒前
OnlyHarbour完成签到,获得积分10
15秒前
18秒前
冯冯完成签到 ,获得积分10
19秒前
旧城以西发布了新的文献求助10
20秒前
dwz发布了新的文献求助10
24秒前
caibaozi应助科研启动采纳,获得10
36秒前
1分钟前
GIA完成签到,获得积分10
1分钟前
1分钟前
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
干净的琦应助晓夏天采纳,获得50
1分钟前
1分钟前
yu完成签到,获得积分10
2分钟前
2分钟前
yu发布了新的文献求助10
2分钟前
勤奋的热狗完成签到 ,获得积分10
2分钟前
Yumm完成签到 ,获得积分10
2分钟前
2分钟前
LLL发布了新的文献求助10
2分钟前
yuyu完成签到,获得积分10
3分钟前
caibaozi应助LLL采纳,获得10
3分钟前
navon完成签到,获得积分10
3分钟前
miki完成签到,获得积分10
3分钟前
Lan完成签到 ,获得积分10
3分钟前
嘿嘿完成签到 ,获得积分10
3分钟前
3分钟前
LY完成签到,获得积分10
3分钟前
小巧冬萱完成签到,获得积分10
4分钟前
xiaoze完成签到 ,获得积分10
4分钟前
所所应助Wu采纳,获得10
4分钟前
Aixx完成签到 ,获得积分10
5分钟前
5分钟前
Wu发布了新的文献求助10
5分钟前
Wu完成签到,获得积分10
5分钟前
5分钟前
5分钟前
坚定豆芽发布了新的文献求助10
5分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6358792
求助须知:如何正确求助?哪些是违规求助? 8172860
关于积分的说明 17210945
捐赠科研通 5413754
什么是DOI,文献DOI怎么找? 2865269
邀请新用户注册赠送积分活动 1842712
关于科研通互助平台的介绍 1690770